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Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
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Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large...
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Feng Li, Xuefeng Xi, Zhiming Cui, Dongyang Li and Wanting Zeng
Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers in ...
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Yukun Wang, Lingxi Guo, Zhiming Guo, Liaoni Wu, Fuqiang Bing, Quanwen Hu and Zonghua Sun
The main focus of this article is on the jump-takeoff method for autogyros. On the basis of a high-confidence autogyro model, we design a jump-takeoff simulation experiment to study and optimize jump-takeoff performance. Using a simplified version of bla...
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Nan Xu, Zhiming Zhang and Yongming Liu
Structural Health Monitoring requires the continuous assessment of a structure?s operational conditions, which involves the collection and analysis of a large amount of data in both spatial and temporal domains. Conventionally, both data-driven and physi...
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Xuerao Wang, Zhiming Zhang, Wenhan Hu, Xin Zhao, Xiaotian Qi and Ran Cai
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Jing Tian, Zilin Zhao and Zhiming Ding
With the widespread use of the location-based social networks (LBSNs), the next point-of-interest (POI) recommendation has become an essential service, which aims to understand the user?s check-in behavior at the current moment by analyzing and mining th...
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Zhi Cai, Tao Wang, Qing Mi, Xing Su, Limin Guo and Zhiming Ding
Many events such as large-scale activities and traffic accidents could cause an increase in vehicle density in an area, which makes the evacuation of vehicles important. However, the existing evacuation methods are not efficient limit to multi-vehicles s...
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Zhi Cai, Fangzhe Liu, Qiong Qi, Xing Su, Limin Guo and Zhiming Ding
Urban rail transit is an essential part of the urban public transportation system. The reasonable spatial data visualization of urban rail transit stations can provide a more intuitive way for the majority of travelers to arrange travel plans and find de...
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Zilin Zhao, Yuanying Chi, Zhiming Ding, Mengmeng Chang and Zhi Cai
Taxi travel time estimation based on real-time traffic flow collection in IoT has been well explored; however, it becomes a challenge to use the limited taxi data to estimate the travel time. Most of the existing methods in this scenario rely on shallow ...
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